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CoronaHiT: High throughput sequencing of SARS-CoV-2 genomes

  • Dave J. Baker
  • , Alp Aydin
  • , Thanh Le Viet
  • , Gemma L. Kay
  • , Steven Rudder
  • , Leonardo de Oliveira Martins
  • , Ana P. Tedim
  • , Anastasia Kolyva
  • , Maria Diaz
  • , Nabil-Fareed Alikhan
  • , Lizzie Meadows
  • , Andrew Bell
  • , Ana Victoria Gutierrez
  • , Alexander J. Trotter
  • , Nicholas M. Thomson
  • , Rachel Gilroy
  • , Luke Griffith
  • , Evelien M. Adriaenssens
  • , Rachael Stanley
  • , Ian Charles
  • Ngozi Franslem-Elumogo, John Wain, Reenesh Prakash, Emma Meader, Alison Mather, Mark Webber, Samir Dervisevic, Andrew J. Page, Justin O'Grady

Research output: Contribution to journalArticlepeer-review

68 Citations (Scopus)
39 Downloads (Pure)

Abstract

We present CoronaHiT, a platform and throughput flexible method for sequencing SARS-CoV-2 genomes (≤ 96 on MinION or > 96 on Illumina NextSeq) depending on changing requirements experienced during the pandemic. CoronaHiT uses transposase-based library preparation of ARTIC PCR products. Method performance was demonstrated by sequencing 2 plates containing 95 and 59 SARS-CoV-2 genomes on nanopore and Illumina platforms and comparing to the ARTIC LoCost nanopore method. Of the 154 samples sequenced using all 3 methods, ≥ 90% genome coverage was obtained for 64.3% using ARTIC LoCost, 71.4% using CoronaHiT-ONT and 76.6% using CoronaHiT-Illumina, with almost identical clustering on a maximum likelihood tree. This protocol will aid the rapid expansion of SARS-CoV-2 genome sequencing globally.

Original languageEnglish
Article number21
JournalGenome Medicine
Volume13
DOIs
Publication statusPublished - 9 Feb 2021

Keywords

  • ARTIC
  • Genetic
  • Genome
  • Multiplexing
  • NGS
  • Nanopore
  • SARS-CoV-2
  • Sequencing

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